Stochastic generation of hourly mean wind speed data

被引：81

作者：

Aksoy, H ^{[1
]}

Toprak, ZF ^{[1
]}

Aytek, A ^{[1
]}

Ünal, NE ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Civil Engn, Dept Civil Engn, Hydraul Div, TR-34469 Istanbul, Turkey

来源：

RENEWABLE ENERGY | 2004年 / 29卷 / 14期

关键词：

normal distribution; Weibull distribution; autoregressive models; Markov chain; wavelet; hourly mean wind speed;

D O I：

10.1016/j.renene.2004.03.011

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Use of wind speed data is of great importance in civil engineering, especially in structural and coastal engineering applications. Synthetic data generation techniques are used in practice for cases where long wind speed data are required. In this study, a new wind speed data generation scheme based upon wavelet transformation is introduced and compared to the existing wind speed generation methods namely normal and Weibull distributed independent random numbers, the first- and second-order autoregressive models, and the first-order Markov chain. Results propose the wavelet-based approach as a wind speed data generation scheme to alternate the existing methods. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：2111 / 2131

页数：21

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